Lightweight high-strength concrete and its preparation process

Abstract

The application relates to the technical field of concrete preparation, in particular to light-weight high-strength concrete and a preparation process thereof, which comprises the following steps: pouring fine aggregate, coarse aggregate, cement and fly ash into a mixer to stir, so as to obtain a dry material mixture; adding water reducing agent and mixing water into the dry material mixture to continue stirring, collecting, analyzing and reconstructing a current signal output under a motor load state of the mixer in the stirring process, and controlling the mixer to stop stirring when the reconstructed current signal no longer appears a monotone decreasing trend; pouring the uniformly stirred concrete mortar into a mold to maintain, so as to obtain the light-weight high-strength concrete. The application aims to improve the accuracy in controlling the stirring process of the light-weight high-strength concrete, so as to obtain light-weight high-strength concrete with higher performance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of concrete preparation, in particular to a light-weight high-strength concrete and a preparation process thereof. BACKGROUND

[0002] Light-weight high-strength concrete is a kind of concrete with light weight, high strength, good durability and good heat preservation and insulation performance, which uses light-weight materials as aggregate. Compared with ordinary concrete, it can bear more load and has high durability, which is beneficial to improve the anti-seismic ability and the ability to resist dynamic load of the building structure.

[0003] In the preparation process of light-weight high-strength concrete, the mixing process is an important factor affecting the quality of concrete, and the uniformity of the mixing of concrete materials can reflect the good or bad of the performance of the concrete in a macroscopic way. The mixing time is one of the important parameters affecting the uniformity of the fresh concrete in the mixing process. In the mixing process, the uniformity of the concrete materials will gradually reach a peak and tend to be stable. Further prolonging the mixing time will intensify the hydration of the concrete materials and cause the segregation of the materials, thereby reducing the uniformity of the fresh concrete. The mixing time of the concrete materials will be different with different material proportions and stirring equipment rotation speeds. Although the mixing time of the fresh concrete materials can be determined through experiments, the process from dispersion to uniformity of the concrete materials in the actual mixing process is a dynamic change process. Even if the same proportion of concrete materials is used with the same stirring equipment rotation speed, the stirring power of the stirring equipment will also change dynamically due to the dynamic changes of the yield stress and dynamic viscosity of the concrete materials in the mixing process, so that the actual mixing time when the concrete materials reach the peak of the uniformity of the materials deviates from the theoretical mixing time obtained through experiments, and thus it is impossible to obtain higher performance of the fresh light-weight high-strength concrete. Therefore, a method for accurately determining whether the mixing time of the concrete materials reaches the peak of the uniformity of the materials by monitoring the mixing process of the light-weight high-strength concrete materials is needed. SUMMARY

[0004] In order to solve the above technical problems, the present application provides a light-weight high-strength concrete and a preparation process thereof, and the technical solutions adopted are as follows:

[0005] In a first aspect, one embodiment of the present application provides a light-weight high-strength concrete preparation process, which comprises the following steps:

[0006] S1: weighing raw materials: weighing raw materials by weight fraction: fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water;

[0007] S2: mixing dry materials: pouring the fine aggregate, coarse aggregate, cement and fly ash into a mixer for stirring to obtain a dry material mixture;

[0008] S3 concrete material mixing: water reducing agent and mixing water are added to the dry material mixture for continuous stirring, and the current signals output by the mixer motor in the no-load and load states during stirring are collected and subjected to variational modal decomposition respectively to obtain a plurality of IMF components;

[0009] A first real characteristic value is constructed based on the periodic characteristic value and the complex characteristic value of any IMF component in the no-load state, and the IMF component used for reconstructing the no-load output current signal is screened out using the first real characteristic value for signal reconstruction;

[0010] A second real characteristic value is constructed based on the complex characteristic value of any IMF component in the load state and the similar characteristic value between the reconstructed no-load output current signal, and the IMF component used for reconstructing the load output current signal is screened out using the second real characteristic value for signal reconstruction;

[0011] The reconstructed load output current signal is subjected to trend test, and when it is determined that there is no longer a monotonic downward trend, the mixer is controlled to stop stirring;

[0012] S4 concrete mortar curing: the uniformly stirred concrete mortar is poured into a mold for curing to obtain lightweight high-strength concrete.

[0013] Preferably, the fine aggregate is one or more of river sand, lake sand or mountain sand.

[0014] Preferably, the coarse aggregate is one or more of shale ceramsite, pumice or fly ash ceramsite.

[0015] Preferably, the cement is one or more of aluminate cement, Portland cement or sulfate cement.

[0016] Preferably, the fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water are river sand, fly ash ceramsite, 42.5 ordinary Portland cement, first-grade fly ash, polycarboxylic acid water reducer and tap water, respectively.

[0017] Preferably, the periodic characteristic value is determined by calculating the autocorrelation coefficient of the IMF component, the complex characteristic value is determined by calculating the sample entropy of the IMF component, and the first real characteristic value is the ratio of the normalized periodic characteristic value to the complex characteristic value.

[0018] Preferably, the similar characteristic value is determined by calculating the Pearson correlation coefficient of the IMF component, the complex characteristic value is determined by calculating the sample entropy of the IMF component, and the second real characteristic value is the product of the normalized similar characteristic value and the complex characteristic value.

[0019] Preferably, the IMF component used to reconstruct the no-load output current signal is the IMF component in the no-load state corresponding to the eigenvalue threshold of the first real eigenvalue greater than all the first real eigenvalues output by the maximum between-class variance algorithm.

[0020] Preferably, the IMF component used to reconstruct the load output current signal is the IMF component in the load state corresponding to the eigenvalue threshold of the second real eigenvalue less than all the second real eigenvalues output by the maximum between-class variance algorithm.

[0021] In a second aspect, another embodiment of the present application also provides a lightweight high-strength concrete prepared by the lightweight high-strength concrete preparation process described above.

[0022] The present application has at least the following beneficial effects:

[0023] The present application analyzes the output current signal of the mixer collected when the mixer is idling and when the lightweight high-strength concrete material is being stirred, reconstructs the real current signal generated by the concrete remaining in the mixer tank wall when the mixer is idling based on the first real eigenvalue constructed based on the period and the complex eigenvalue, and reconstructs the real current signal generated when the mixer is stirring the lightweight high-strength concrete material based on the second real eigenvalue constructed based on the similar eigenvalue and the complex eigenvalue obtained from the real current signal. Compared to directly using the collected load output current signal to determine whether the lightweight high-strength concrete material has reached its uniformity peak time in the time period corresponding to the sampling period of the load output current signal, the present application can effectively reduce the misjudgment of the uniformity peak time caused by the current amplitude change in the load output current signal due to external noise interference and the concrete remaining in the mixer tank wall, thereby improving the accuracy of subsequent control of the mixing process of the lightweight high-strength concrete. The present application uses the reconstructed load output current signal to determine whether the lightweight high-strength concrete material in the mixer has been stirred uniformly to reach its uniformity peak time in the time period corresponding to the sampling period of the load output current signal, thereby achieving control of the mixing time of the lightweight high-strength concrete material. Compared to using the mixing time obtained by experiment in the traditional method to control the mixing process of the lightweight high-strength concrete, the present application can effectively control the uniformity of the current batch of lightweight high-strength concrete material to reach its peak, avoiding the production of lightweight high-strength concrete that cannot obtain higher performance due to unreasonable mixing time setting. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, and the advantages thereof, below briefly introduces the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, under the premise of not creating labor, can also obtain other drawings according to these drawings.

[0025] Figure 1 A flow chart of a lightweight high-strength concrete preparation process is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0026] Embodiment 1

[0027] A lightweight high-strength concrete preparation process is provided for an embodiment of the present application, which is specifically referred to Figure 1 , and the specific analysis is as follows:

[0028] The raw materials for preparing the lightweight high-strength concrete in the present application mainly include fine aggregate, coarse aggregate, cement, fly ash, modified fiber, water reducing agent and mixing water. The fine aggregate can be one or more of river sand, lake sand or mountain sand. The coarse aggregate can be one or more of shale ceramsite, pumice or fly ash ceramsite. The cement is one or more of aluminate cement, Portland cement or sulphate cement. In the present application, the fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water are river sand, fly ash ceramsite, 42.5 ordinary Portland cement, first-grade fly ash, polycarboxylic acid water reducing agent and tap water, respectively. The preparation process is as follows:

[0029] S1: weighing materials

[0030] According to the weight fraction, 75 85 parts of fine aggregate, 30 50 parts of coarse aggregate, 35 45 parts of cement, 10 20 parts of fly ash, 1 2 parts of water reducing agent and 15 25 parts of mixing water are weighed, respectively. In this embodiment, the weight fractions of the fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water are 80, 40, 38, 10, 1 and 18, respectively.

[0031] S2: dry material mixing

[0032] The selected weight fractions of fine aggregate, coarse aggregate, cement and fly ash are poured into a mixer and stirred at a speed of 40 55 rpm for 2 3 min to obtain a dry material mixture. In this embodiment, the stirring speed is 50 rpm and the stirring time is 2.5 min.

[0033] S3 mixing of concrete material:

[0034] The selected weight parts of water reducing agent and water are added into the mixer in which the dry mixture obtained in step S2 is placed, and the same stirring speed as in step S2 is used for stirring, and the stirring end time of the concrete material in the mixer is controlled by a stirring control module, which includes a data acquisition unit, a data processing unit, and a stirring control unit.

[0035] The data acquisition unit is used to acquire the current signals output by the motor of the mixer in the no-load and load states during stirring.

[0036] In the data acquisition unit, before the dry materials are stirred using the mixer in step S2, the mixer is idled for 1 min using the same stirring speed as in step S2, and the no-load output current signal of the motor of the mixer during idling is acquired using a current sensor (signal acquisition starts after the stirring speed stabilizes, for example, starting at 5 s), and the sampling frequency and sampling time of the no-load output current signal are 2 kHz and 5 seconds; secondly, the load output current signal of the mixer during stirring of the concrete material in step S3 is continuously acquired using the current sensor and the sampling frequency, with the sampling time as the sampling period (signal acquisition starts after the stirring speed stabilizes, for example, starting at 5 s), and the acquired no-load output current signal and load output current signal are transmitted to the data processing unit.

[0037] The data processing unit is used to analyze the stirring process of the lightweight high-strength concrete to filter out the signal components in the acquired load output current signal that are generated by the residual concrete in the wall of the mixer and external noise interference.

[0038] Since the mixing process of fresh concrete is the process of mixing various materials from a scattered state into a uniform state under the stirring action of the mixer, and it is also the process of the stirring blade of the mixer converting electrical energy into kinetic energy, and then into work done to overcome the gravity, embedding force, friction, cohesive force and other forces of the concrete materials. Since the concrete mixer usually operates at a constant speed under a stable power supply, the stirring power required by the mixer will change with the change of the internal stirring resistance of the concrete materials. In the initial stirring stage of the concrete materials, the mixing degree of the solid-liquid in the concrete materials is poor, and the embedding force and friction between the sand and stones in the materials will generate a large resistance to the stirring blade, so that the output current of the mixer is relatively large. In the solid-liquid mixing stage of the concrete materials, with the progress of the stirring process and the increase of the mixing uniformity of the materials, the cement begins to hydrate to form a slurry, and the embedding force and friction in the materials continuously decrease the stirring resistance of the stirring blade, so that the amplitude of the output current of the mixer shows a downward trend. In the stable stage of the concrete materials, the materials have been stirred uniformly to reach the peak value of the uniformity, and the stress of the stirring blade is stable, so that the output current of the mixer basically remains stable.

[0039] Therefore, taking the load output current signal A collected by the data processing unit in any sampling period as an example, when the monotonic downward trend no longer appears in the load output current signal A, it indicates that the concrete materials in the mixer have been stirred uniformly to reach the peak moment of the uniformity in the time period where the sampling period is located. The stirring control unit can be used to control the mixer to stop stirring.

[0040] However, the current signal collected by the current sensor during the stirring process of the mixer will inevitably be disturbed by the outside world. The collected current signal is actually the output signal of a non-Gaussian noise excited linear time-invariant system superimposed with colored noise. Moreover, after the mixer is used for a period of time, part of the concrete will remain in the tank wall of the mixer and will thicken over time, so that the friction between the stirring blade and the tank wall will change when the stirring blade is idling or stirring the concrete materials, thereby causing the change of the output power (no-load output current and load output current) of the mixer. Therefore, directly using the collected load output current signal to determine whether the concrete materials have reached the peak moment of the material uniformity in the time period where the sampling period corresponding to the load output current signal is located will cause misjudgment due to the change of the current amplitude caused by the external noise interference and the concrete remaining in the tank wall of the mixer. Therefore, in order to reduce the occurrence of this situation, the following processing is performed.

[0041] Since the collected load output current signal usually contains a real current signal component generated by the mixer stirring the concrete material, a real current signal component generated by the residual concrete in the mixer tank wall, and a colored noise signal component generated by external noise interference, and the collected no-load output current signal usually contains only a real current signal component generated by the residual concrete in the mixer tank wall when the mixer is idling and a colored noise signal component caused by external noise interference, in order to effectively filter out the signal components generated by the residual concrete in the mixer tank wall and external noise interference in the collected load output current signal, the following processing is performed.

[0042] S3.1 In the data processing unit, first, the real current signal generated by the residual concrete in the mixer tank wall when the mixer is idling is obtained.

[0043] Specifically, the no-load output current signal B is adaptively signal-decomposed using a variational mode decomposition algorithm to obtain multiple IMF components of the no-load output current signal B, which are used to represent different signal components in the no-load output current signal B. The variational mode decomposition algorithm is a known technology, and the specific process will not be described again.

[0044] Since the colored noise signal caused by external noise interference usually has a non-uniform energy distribution in its frequency, and the output current signal generated when the mixer is idling usually has periodic signal fluctuations due to the residual concrete in the tank wall, the real current signal component in the collected no-load output current signal will have higher periodicity characteristics and lower signal complexity than the colored noise signal component.

[0045] Therefore, taking any one IMF component b in the no-load output current signal B as an example, the signal autocorrelation coefficient of the IMF component b is recorded as the periodicity characteristic value of the IMF component b, which is used to evaluate whether the IMF component b has periodic signal distribution characteristics. The larger the signal autocorrelation coefficient, the more periodic the signal distribution characteristics. At the same time, the sample entropy of the IMF component b is recorded as the complexity characteristic value of the IMF component b, which is used to evaluate the signal complexity in the IMF component b. The larger the sample entropy, the greater the signal complexity. The calculation of the signal autocorrelation coefficient and the sample entropy is a known technology, and the specific process will not be described again.

[0046] The period and complex characteristic value of all IMF components of the no-load output current signal B are normalized by using a normalization method, and the normalization range is (0, 1). Taking the IMF component b as an example, the ratio of the normalized results of the period and complex characteristic value of the IMF component b is recorded as the first real characteristic value of the IMF component b, which is used to evaluate whether the IMF component b is a real current signal component generated by the mixer idling in the no-load output current signal B. The greater the first real characteristic value, the more likely the IMF component b is the real current signal component. The normalization method of normalizing data to the range (0, 1) is a known technology, and the specific process will not be described again.

[0047] The first real characteristic values of all IMF components of the no-load output current signal B are taken as the input of the maximum inter-class variance algorithm, and the output characteristic value threshold S1 is obtained. All IMF components with a first real characteristic value greater than the characteristic value threshold S1 are screened from all IMF components, which are used to represent all real current signal components generated by the mixer idling in the no-load output current signal B. The signal reconstruction is performed on all screened IMF components to obtain the reconstructed no-load output current signal B1, which is used to represent the real current signal generated by the concrete remaining in the mixer tank wall when the mixer is idling. The maximum inter-class variance algorithm and the signal reconstruction in the variational mode decomposition algorithm are known technologies, and the specific process will not be described again.

[0048] S3.2 Secondly, a real current signal composed of all real current signal components generated by the mixer stirring concrete materials in the collected load output current signal is obtained.

[0049] Specifically, the variational mode decomposition algorithm is used to adaptively decompose the load output current signal A to obtain multiple IMF components of the load output current signal A, which are used to represent different signal components in the load output current signal A. The variational mode decomposition algorithm is a known technology, and the specific process will not be described again.

[0050] Because the concrete remaining in the mixer tank wall is fixed and unchanged before it is stirred in the same process of stirring the lightweight high-strength concrete, the real current signal generated by the concrete remaining in the mixer tank wall when the mixer is idling has similar signal distribution characteristics with the real current signal component generated by the concrete remaining in the mixer tank wall in the load output current signal collected when the mixer is stirring concrete materials. The colored noise signal component generated by external noise interference in the load output current signal has a higher signal complexity compared with the real current signal components generated by the concrete remaining in the mixer tank wall and the mixer stirring concrete materials.

[0051] Based on the above analysis, taking any one IMF component a in the load output current signal A as an example, the Pearson correlation coefficient between the IMF component a and the no-load output current signal B1 is recorded as the similarity eigenvalue of the IMF component a, which is used to evaluate whether the IMF component a has similar signal distribution characteristics with the true current signal generated by the concrete remaining in the mixer tank wall when the mixer is idling, the greater the similarity eigenvalue, the more similar the signal distribution characteristics, and the sample entropy of the IMF component a is recorded as the complexity eigenvalue of the IMF component a, which is used to evaluate the signal complexity in the IMF component b, the greater the sample entropy, the greater the signal complexity, wherein the calculation of the Pearson correlation coefficient between the signals and the sample entropy is a known technology, and the specific process will not be described again.

[0052] The similarity and complexity eigenvalues of all IMF components of the load output current signal A are normalized by using the Min-Max normalization method, and taking the IMF component a as an example, the product of the normalized results of the similarity and complexity eigenvalues of the IMF component a is recorded as the second true eigenvalue of the IMF component a, which is used to evaluate whether the IMF component a is a true current signal component generated by the mixer stirring the concrete material in the load output current signal A, the smaller the second true eigenvalue, the more likely the IMF component a is the true current signal component, wherein the Min-Max normalization method is a known technology, and the specific process will not be described again.

[0053] The second true eigenvalues of all IMF components of the load output current signal A are taken as the input of the maximum inter-class variance algorithm, and the output eigenvalue threshold S2 is obtained, all IMF components with a second true eigenvalue less than the eigenvalue threshold S2 are screened out from the all IMF components, which are used to represent all true current signal components generated by the mixer stirring the concrete material in the no-load output current signal B, and the screened all IMF components are reconstructed to obtain the reconstructed load output current signal A1, which is used to represent the true current signal generated by the mixer stirring the concrete material, and the load output current signal A1 is transmitted to the mixing control unit, wherein the maximum inter-class variance algorithm and the signal reconstruction in the variational mode decomposition algorithm are known technologies, and the specific process will not be described again.

[0054] The mixing control unit is used to control the current lightweight high-strength concrete mixing process according to the reconstructed load output current signal obtained in the last step, and continue the subsequent lightweight high-strength concrete preparation process.

[0055] S3.3 In the stirring control unit, the load output current signal A1 is subjected to signal smoothing processing by using an exponential moving average algorithm to obtain a signal-smoothed load output current signal A2, so as to enhance the recognizable of the signal amplitude trend in the load output current signal A1. A trend component A3 of the load output current signal A2 is extracted by using an STL (Seasonal-Trend Decomposition using LOESS) decomposition algorithm, which is used to evaluate the change trend of the signal amplitude as a whole in the load output current signal A2. The exponential moving average algorithm and the STL decomposition algorithm are both known technologies, and the specific process will not be described in detail.

[0056] It is judged by using a Mann-Kendall trend test method whether the trend component A3 has a monotonic trend. If not (the amplitude of the current signal will only gradually decrease from the beginning of stirring, and will not have an upward trend), it is considered that the concrete material in the mixer has been stirred uniformly to reach the peak moment of uniformity in the time period corresponding to the sampling period of the load output current signal A, and the stirring of the mixer is stopped, thereby completing the stirring process of the current lightweight high-strength concrete material and obtaining lightweight high-strength concrete mortar. If yes, it is considered that the concrete material in the mixer has not been stirred uniformly to reach the peak moment of uniformity in the time period, and the mixer is continuously stirred. The use of the Mann-Kendall trend test method to judge whether the time series has an increasing trend is a known technology, and the specific process will not be described in detail.

[0057] S4 Concrete mortar curing:

[0058] The lightweight high-strength concrete mortar obtained in step S3.3 is poured into a mold and compacted, and a plastic film is used to cover the concrete mortar in the mold to prevent the evaporation and loss of water therein. The mold is placed in an environment with a temperature of 20°C and a relative humidity of 90% for 1 day, and then the concrete module in the mold is taken out and cured in the environment for 1 month to obtain lightweight high-strength concrete. The preparation of the lightweight high-strength concrete is completed.

[0059] Example 2

[0060] S1 Material weighing: In this example, the weight parts of the fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water are 85, 50, 45, 20, 2 and 25 respectively.

[0061] S2 Dry material mixing: In this example, the stirring speed is 55 rpm and the stirring time is 2 min.

[0062] S3 Concrete material mixing.

[0063] S4 Concrete mortar curing.

[0064] The other parts not mentioned are consistent with the corresponding parts in Example 1, and will not be repeated here.

[0065] Example 3

[0066] S1: Material taking: In this example, the weight parts of the fine aggregate, coarse aggregate, cement, fly ash, water reducing agent and mixing water are 75, 30, 35, 10, 1 and 16 respectively.

[0067] S2: Dry material mixing: In this example, the stirring speed is 40 rpm and the stirring time is 3 min.

[0068] S3: Concrete material mixing.

[0069] S4: Concrete mortar maintenance.

[0070] The other parts not mentioned are consistent with the corresponding parts in Example 1, and will not be repeated here.

[0071] Based on the same inventive concept as the light-weight high-strength concrete preparation process, the present application also provides a light-weight high-strength concrete, which is realized by the light-weight high-strength concrete preparation process.

[0072] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope of the application being indicated by the following claims.

[0073] It should be understood that the application is not limited to the precise construction that has been described above and shown in the accompanying drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application.

Claims

1. A process for preparing lightweight, high-strength concrete, characterized in that, The process includes the following steps: S1 Raw material weighing: Weigh the raw materials by weight: fine aggregate, coarse aggregate, cement, fly ash, water-reducing agent and mixing water; S2 Dry Material Mixing: Fine aggregate, coarse aggregate, cement, and fly ash are poured into a mixer and mixed to obtain a dry material mixture; S3 Concrete Material Mixing: Water-reducing agent and mixing water are added to the dry material mixture and stirred. During the stirring process, the current signals output by the mixer motor under no-load and load conditions are collected and variational mode decomposition is performed to obtain several IMF components. A first true feature value is constructed based on the periodic and complex feature values ​​of any IMF component under no-load conditions. The first true feature value is then used to select IMF components for reconstructing the no-load output current signal, thus enabling signal reconstruction. The periodic feature value is determined by calculating the autocorrelation coefficient of the IMF component, and the complex feature value is determined by calculating the sample entropy of the IMF component. The first true feature value is the ratio of the normalized periodic feature value to the complex feature value. The IMF component used to reconstruct the no-load output current signal is the IMF component under no-load conditions whose first true feature value is greater than the feature value threshold of all first true feature values ​​output by the maximum inter-class variance algorithm. A second true feature value is constructed based on the complex feature value of any IMF component under load conditions and the similarity feature value between it and the reconstructed no-load output current signal. The second true feature value is then used to select the IMF components for reconstructing the load output current signal for signal reconstruction. The similarity feature value is determined by calculating the Pearson correlation coefficient of the IMF component, the complex feature value is determined by calculating the sample entropy of the IMF component, and the second true feature value is the product of the normalized similar feature value and the complex feature value. The IMF component used to reconstruct the load output current signal is the IMF component under load conditions whose second true feature value is less than the feature value threshold of all second true feature values ​​output by the maximum inter-class variance algorithm. The reconstructed load output current signal is subjected to trend testing. When it is determined that there is no longer a monotonically decreasing trend, the mixer is controlled to stop mixing. S4 concrete mortar curing: Pour the well-mixed concrete mortar into the mold for curing to obtain lightweight high-strength concrete.

2. The lightweight high-strength concrete preparation process as described in claim 1, characterized in that, The fine aggregate is one or more of river sand, lake sand, or mountain sand.

3. The lightweight high-strength concrete preparation process as described in claim 1, characterized in that, The coarse aggregate is one or more of shale ceramsite, pumice, or fly ash ceramsite.

4. The lightweight high-strength concrete preparation process as described in claim 1, characterized in that, The cement is one or more of aluminate cement, silicate cement, or sulfate cement.

5. A lightweight high-strength concrete preparation process according to any one of claims 1-4, characterized in that, The fine aggregate, coarse aggregate, cement, fly ash, water-reducing agent, and mixing water are river sand, fly ash ceramsite, 42.5 ordinary silicate cement, grade I fly ash, polycarboxylate water-reducing agent, and tap water, respectively.

6. A lightweight, high-strength concrete, characterized in that, It is achieved by the lightweight high-strength concrete preparation process described in claim 1.

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